Job Post

Senior Data Scientist - Experimentation

Spotify
48 Grove Street
Somerville, MA 02144

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual person and keep the world listening.

Everyday, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as "Discover Weekly" and Daily Mix. We're a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.

We are looking for an expert in statistical modeling, causal attribution and experimentation methodology to join our Personalization organization in Spotify.

This role sits within the central research team in our Product Insights group at Personalization responsible for developing our capabilities in measuring the performance and impact of our models and features, and developing foundational research knowledge, methods and tools.

What youll do:

  • Build lasting solutions to experimentation and attribution modeling

  • Commit to ensuring industry-leading best practices for experimental design and statistical analysis

  • Contribute to the development of the Product Insights function and the wider analytics community at Spotify

  • Work from our offices in Boston or New York

Who you are:

  • You will have at least 5 years experience in applied research and statistical modeling with a degree or higher (MS/PhD) in statistics, mathematics, econometrics, or similar field

  • Significant expertise in experimentation methodologies

  • Significant breadth and depth of statistics/ML knowledge

  • High level of ability in R or Python

  • Competence with SQL and experience performing analysis on large datasets

  • You are capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences

  • You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

Category: Data Science / Machine Learning
Full-time

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